0. Multivariate Projection Methods- mpm is an R package by Paul Lewi and Luc Wouters for exploratory multivariate analysis of large data matrices, such as gene expression data from microarray experiments.

1. Co-correspondence Analysis Methods- Cocorresp implements predictive and symmetric co-correspondence analysis (CoCA) models to relate one community matrix to another by maximising the weighted covariance of the weighted averaged species scores of the two communities.